Sort by
Refine Your Search
-
(Robot Simulation & Offline Programming), Microsoft Office Suite Programming Languages: Hardware-Level & Digital Design: Verilog, VHDL, Assembly. Data Science & Machine Learning: Python (Pandas, NumPy
-
. Strong understanding of AI/ML concepts, methodologies, and applications. Proven ability to gather program in AI. Deep expertise in Python and standard ML/Data Science libraries (e.g., TensorFlow, PyTorch
-
development designing cloud-based applications in Python / Go / Typescript using modern deployment methods (e.g., Kubernetes, Terraform, etc.), designing software for randomized experiments, and designing
-
Skills: Strong experience with MATLAB and/or Python; experience with C++ for high-performance signal processing is a plus. Experimentation: Proven experience developing wireless prototypes, demonstrators
-
: Certification as CISSP. Programming skills in: SQL, Python, Powershell. Qualifications In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $130,000.00 to USD
-
Engineering or Electrical engineering with expertise in hardware security. Excellent analytic, design, and coding skills. Familiar with a programming language, such as MATLAB, Python, C etc and/or hardware
-
programming languages & applications (SQL, .NET, MS Office, SSRS, Tableau, Python, R, and Machine Learning techniques) Knowledge of a variety of current and emerging technologies Excellent analytical, problem
-
collaboration and interpersonal communication skills. Strong understanding of AI/ML concepts, methodologies, and applications. Proven ability to gather program in AI. Deep expertise in Python and standard ML/Data
-
an environment with significant trust and accountability. Preferred Skills, Knowledge and Abilities: Advanced skills with Tableau, Python, R, and other statistical packages; Expert level knowledge of Asana
-
. Strong understanding of AI/ML concepts, methodologies, and applications. Proven ability to gather program in AI. Deep expertise in Python and standard ML/Data Science libraries (e.g., TensorFlow, PyTorch